The Microsoft AI-900 Azure AI Fundamentals exam is designed for individuals looking to validate their foundational knowledge of artificial intelligence (AI) and machine learning (ML) concepts on Microsoft Azure. This certification is ideal for beginners, non-technical professionals, and those exploring AI capabilities in cloud computing.
Preparing for the AI-900 exam requires a structured study approach, and using high-quality exam dumps can significantly enhance your preparation. DumpsArena offers reliable and up-to-date AI-900 dumps, helping candidates familiarize themselves with the exam format and key topics.
In this guide, we will cover:
- Exam overview and objectives
- Key topics in AI-900
- How to prepare effectively
- Why DumpsArena’s AI-900 dumps are beneficial
Here are 10 multiple-choice review questions for the Microsoft AI-900: Azure AI Fundamentals exam. These questions cover key topics from the exam blueprint, including AI workloads, machine learning, computer vision, natural language processing, and responsible AI.
1. What is the primary purpose of the Azure AI-900 exam?
A) To test advanced machine learning model development skills
B) To validate foundational knowledge of AI and Microsoft Azure AI services
C) To certify expertise in deep learning and neural networks
D) To assess proficiency in Python programming for AI
Answer: B) To validate foundational knowledge of AI and Microsoft Azure AI services
2. Which Azure service is used to build, train, and deploy machine learning models without writing code?
A) Azure Cognitive Services
B) Azure Machine Learning Studio
C) Azure Databricks
D) Azure Synapse Analytics
Answer: B) Azure Machine Learning Studio
3. What type of AI workload involves extracting meaning from text or speech?
A) Computer Vision
B) Natural Language Processing (NLP)
C) Anomaly Detection
D) Reinforcement Learning
Answer: B) Natural Language Processing (NLP)
4. Which Azure Cognitive Service would you use to detect objects in an image?
A) Text Analytics
B) Speech to Text
C) Computer Vision
D) Translator
Answer: C) Computer Vision
5. What is an example of a supervised learning scenario?
A) Clustering customer data into segments
B) Predicting house prices using labeled training data
C) Finding patterns in unlabeled sales data
D) Using rewards to train an AI model
Answer: B) Predicting house prices using labeled training data
6. Which principle of responsible AI ensures that AI systems are understandable by users?
A) Fairness
B) Transparency
C) Privacy and Security
D) Reliability and Safety
Answer: B) Transparency
7. What does the Text Analytics service in Azure Cognitive Services help with?
A) Converting speech to text
B) Detecting sentiment in text (e.g., positive or negative)
C) Translating text between languages
D) Generating synthetic speech
Answer: B) Detecting sentiment in text
8. Which type of machine learning is used when training an AI model with rewards and penalties?
A) Supervised Learning
B) Unsupervised Learning
C) Reinforcement Learning
D) Semi-supervised Learning
Answer: C) Reinforcement Learning
9. What is the purpose of the Face API in Azure Cognitive Services?
A) To recognize and analyze human faces in images
B) To convert handwritten notes into digital text
C) To generate realistic synthetic faces
D) To detect anomalies in time-series data
Answer: A) To recognize and analyze human faces in images
10. Which Azure service allows you to add pre-trained AI capabilities (like vision, speech, or language) with minimal coding?
A) Azure Machine Learning
B) Azure Cognitive Services
C) Azure Databricks
D) Azure Bot Service
Answer: B) Azure Cognitive Services
These questions align with the AI-900 exam objectives and can help reinforce key concepts. Would you like explanations for any of the answers or additional practice questions?
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